In this example, we are going to classify images using TensorFlow. More specifically, we are going to create a simple model (a softmax regression model) for learning and predicting handwritten digits in images using the MNIST dataset.
Softmax regression is a generalization of logistic regression we can use for multi-class classification. The MNIST dataset (http://yann.lecun.com/exdb/mnist/) contains a variety of handwritten digital images:
The mnist_tensorflow_save_model.py script creates the model for learning and predicting handwritten digits in images.
The main steps are shown as follows. ...
